ETL LinkedIn Ads data to Google BigQuery

Q: How much does it cost to replicate data from LinkedIn Ads to BigQuery?

The cost depends on the amount of data in your LinkedIn Ads you want to replicate to BigQuery. Check out our pricing page for more information. Or give it a try and request a demo for free!

Q: Is there a limit on the amount of pipelines from LinkedIn Ads to BigQuery?

The amount of data streams you can create is not limited. Moreover, the amount of created integrations does increase the data replication price either.

Q: How much time do I need to create a LinkedIn Ads and BigQuery integration?

Renta’s user-friendly interface allows you to create integrations in less than 7 minutes. All you need to start is your login data to LinkedIn Ads and BigQuery.

Skip all the coding and get LinkedIn data in just four clicks with the Renta Marketing ETL.

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Increase productivity by seamlessly and accurately transferring data directly from LinkedIn Ads to Google BigQuery.

Renta ETL simplifies the integration process by allowing you to extract and use the information you need from LinkedIn Ads without creating and maintaining complex ETL scripts.

As a marketer looking for actionable insights to fine-tune your ad strategies, Renta ETL allows you to tailor your data sets by focusing on what really matters to you.

How does it work?

Setting up the integration between LinkedIn Ads and Google BigQuery with Renta is an easy process that only takes a few clicks and minutes of your time. Let's take a look at all the steps:

Specify access to LinkedIn Ads
In the Renta platform, go to the integration catalog and select LinkedIn Ads. You will need to specify credentials for access. If you use multiple LinkedIn Ads accounts, don't worry! Renta will take care of you. Just choose the account you want to integrate.
Specify a Google BigQuery project
To make the data from LinkedIn Ads find its new home, select Google BigQuery from the list of destinations. Enter the necessary access information for the project you want to import the data into.
Define the integration parameters
This is the part where your data pipeline takes shape. Set up a data sync scheme with Google BigQuery and decide how often you want to update your data. This ensures that your most recent ad data is always ready for analysis.

Once you've completed the setup, all you have to do is click save. You've created an integration! Your LinkedIn Ads data will now be seamlessly copied to the Google BigQuery data warehouse. With Renta, setting up data pipelines is a breeze!

The data structure of the LinkedIn Ads API

Renta supports exporting data from LinkedIn advertising accounts, including LinkedIn Marketing Solutions. Here are the types of data sets supported by Renta's ETL solution:

Ad Campaigns and Creatives API

Data related to campaigns and creatives on LinkedIn, providing information for ad management and optimization.

Ad Analytics API

This includes campaign performance data to measure campaign performance.

DMP Segments API

This includes data about audience segments for targeted advertising on LinkedIn. Note that additional permission is required to access this data because the DMP Segments API is a private LinkedIn API.